ArticlePLoS computational biology2017
Transcriptomic correlates of neuron electrophysiological diversity.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.
- Modeling sources of interlaboratory variability in electrophysiological properties of mammalian neurons.Journal of neurophysiology · 2018Pooled it
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- Alternative splicing in layer 3 pyramidal neurons differs across regions of the human cortical hierarchy.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- A transcriptional program associated with neurotransmission in the living human brain.Molecular psychiatry · 2026Article
- Transcriptional regulation of human NMNAT2: insights from 3D genome sequencing and bioinformatics.The FEBS journal · 2026Article
- Synapse types are spatially associated with regional hemodynamics in the mouse brain.PLoS biology · 2026Article
- The grand challenge in cellular neurophysiology.Frontiers in cellular neuroscience · 2026Article
- A 3D-1D-0D multiscale model of the neuro-glial-vascular unit for synaptic and vascular dynamics in the dorsal vagal complex.Journal of mathematical biology · 2025Article
- Regulatory logic of neuronal identity specification inbioRxiv : the preprint server for biology · 2025Article
- In vitro derivation of midbrain dopaminergic neurons from porcine embryonic stem cells in multi-dimensional conditions.Stem cell research & therapy · 2025Article
- Transcriptomic diversity of amygdalar subdivisions across humans and nonhuman primates.Science advances · 2025Article
- In Search of Transcriptomic Correlates of Neuronal Firing-Rate Adaptation across Subtypes, Regions and Species: A Patch-seq Analysis.bioRxiv : the preprint server for biology · 2025Article
- Adoption of microfluidic MEA technology for electrophysiology of 3D neuronal networks exposed to suborbital conditions.NPJ microgravity · 2025Article
- A quantitative prediction method utilizing whole omics data for biosensing.Scientific reports · 2025Article
- Transcriptomic Correlates of State Modulation in GABAergic Interneurons: A Cross-Species Analysis.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Loss of postnatal Arx transcriptional activity in parvalbumin interneurons reveals non-cell autonomous disturbances in CA1 pyramidal cells.Neuroscience · 2024Article
- A brief history of somatostatin interneuron taxonomy or: how many somatostatin subtypes are there, really?Frontiers in neural circuits · 2024Review
- Modeling functional cell types in spike train data.PLoS computational biology · 2023Article
- Neurophysiological signatures of cortical micro-architecture.Nature communications · 2023Article
- Intrinsic neural diversity quenches the dynamic volatility of neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
How neuronal diversity emerges from complex patterns of gene expression remains poorly understood. Here we present an approach to understand electrophysiological diversity through gene expression by integrating pooled- and single-cell transcriptomics with intracellular electrophysiology. Using neuroinformatics methods, we compiled a brain-wide dataset of 34 neuron types with paired gene expression and intrinsic electrophysiological features from publically accessible sources, the largest such collection to date. We identified 420 genes whose expression levels significantly correlated with variability in one or more of 11 physiological parameters. We next trained statistical models to infer cellular features from multivariate gene expression patterns. Such models were predictive of gene-electrophysiological relationships in an independent collection of 12 visual cortex cell types from the Allen Institute, suggesting that these correlations might reflect general principles relating expression patterns to phenotypic diversity across very different cell types. Many associations reported here have the potential to provide new insights into how neurons generate functional diversity, and correlations of ion channel genes like Gabrd and Scn1a (Nav1.1) with resting potential and spiking frequency are consistent with known causal mechanisms. Our work highlights the promise and inherent challenges in using cell type-specific transcriptomics to understand the mechanistic origins of neuronal diversity.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.